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20092021
most citedAddressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

33 citations · 90 across the 17 of their papers we have counts for

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stat.ML2019

Leveraging Semantic Embeddings for Safety-Critical Applications

Thomas Brunner, Frederik Diehl, Michael Truong Le +1

Semantic Embeddings are a popular way to represent knowledge in the field of zero-shot learning. We observe their interpretability and discuss their potential utility in a safety-c…